A novel Bayesian functional spatial partitioning method with application to prostate cancer lesion detection using MRI.
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| Title: | A novel Bayesian functional spatial partitioning method with application to prostate cancer lesion detection using MRI. |
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| Authors: | Masotti M; Division of Biostatistics, University of Minnesota, Minneapolis, Minnesota., Zhang L; Division of Biostatistics, University of Minnesota, Minneapolis, Minnesota., Leng E; Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota., Metzger GJ; Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota., Koopmeiners JS; Division of Biostatistics, University of Minnesota, Minneapolis, Minnesota. |
| Source: | Biometrics [Biometrics] 2023 Jun; Vol. 79 (2), pp. 604-615. Date of Electronic Publication: 2021 Dec 08. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 0370625 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1541-0420 (Electronic) Linking ISSN: 0006341X NLM ISO Abbreviation: Biometrics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1541-0420 |
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| DOI: | 10.1111/biom.13602 |
